Customer Care

Create the agents.
Resolve together.

Give every contact center representative their own AI bot. Teach it through real work, reuse approved skills and bring colleagues and their bots into the same customer case.

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01 /

Name your bots and co-create their skills

02 /

Work across voice, chat and email

03 /

Manage people, bots and tickets together

Draft v0.3 · Shared project

Returns agent

JLMKAIPeople + agents, one workspace
Jamie · Support leadSet the mission

Resolve returns within our policy. Ask for approval for exceptions.

Morgan · OperationsAdded a skill

Check delivery status before offering a replacement.

Alex · QualityReviewed a test

This case needs a manager. Add it to the test set.

Team review → test → approve version

Interactive product concept · illustrative content

One platform / five connected modules

From how work happens.
To how agents improve.

Observe real work, teach the right skills, build together and improve from reviewed outcomes.

↳ Outcomes and approved corrections feed back into Observe and Learn.
From human know-how to work done

One case.
The whole journey.

Follow a damaged-order refund from the way a person handles it to a team of agents carrying the work through.

01 / Observe

It starts with your team’s know-how.

A customer request. A policy check. A decision. Observe how your people handle a real task, across conversations and back-office tools.

Illustrative product journey · synthetic customer case
A team member working at her laptop
Human know-how. In its natural habitat.
Z
Zendesk · ticket received“My order arrived damaged.”
✓
S
Shopify · order foundOrder and delivery matched
✓
Policy · next actionCheck eligibility. Issue refund.
✓
Build with Supraway

Your team. Your first agent.

See how customer context, business rules and authorized actions come together in an interactive return workflow.

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